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/*
* Copyright (C) 2020 The Android Open Source Project
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_UTILS_COMMON_RESILIENT_PREPARED_MODEL_H
#define ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_UTILS_COMMON_RESILIENT_PREPARED_MODEL_H
#include <android-base/thread_annotations.h>
#include <nnapi/IPreparedModel.h>
#include <nnapi/Result.h>
#include <nnapi/Types.h>
#include <functional>
#include <memory>
#include <mutex>
#include <utility>
#include <vector>
namespace android::hardware::neuralnetworks::utils {
class ResilientPreparedModel final : public nn::IPreparedModel,
public std::enable_shared_from_this<ResilientPreparedModel> {
struct PrivateConstructorTag {};
public:
using Factory = std::function<nn::GeneralResult<nn::SharedPreparedModel>()>;
static nn::GeneralResult<std::shared_ptr<const ResilientPreparedModel>> create(
Factory makePreparedModel);
explicit ResilientPreparedModel(PrivateConstructorTag tag, Factory makePreparedModel,
nn::SharedPreparedModel preparedModel);
nn::SharedPreparedModel getPreparedModel() const;
nn::GeneralResult<nn::SharedPreparedModel> recover(
const nn::IPreparedModel* failingPreparedModel) const;
nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> execute(
const nn::Request& request, nn::MeasureTiming measure,
const nn::OptionalTimePoint& deadline, const nn::OptionalDuration& loopTimeoutDuration,
const std::vector<nn::TokenValuePair>& hints,
const std::vector<nn::ExtensionNameAndPrefix>& extensionNameToPrefix) const override;
nn::GeneralResult<std::pair<nn::SyncFence, nn::ExecuteFencedInfoCallback>> executeFenced(
const nn::Request& request, const std::vector<nn::SyncFence>& waitFor,
nn::MeasureTiming measure, const nn::OptionalTimePoint& deadline,
const nn::OptionalDuration& loopTimeoutDuration,
const nn::OptionalDuration& timeoutDurationAfterFence,
const std::vector<nn::TokenValuePair>& hints,
const std::vector<nn::ExtensionNameAndPrefix>& extensionNameToPrefix) const override;
nn::GeneralResult<nn::SharedExecution> createReusableExecution(
const nn::Request& request, nn::MeasureTiming measure,
const nn::OptionalDuration& loopTimeoutDuration,
const std::vector<nn::TokenValuePair>& hints,
const std::vector<nn::ExtensionNameAndPrefix>& extensionNameToPrefix) const override;
nn::GeneralResult<nn::SharedBurst> configureExecutionBurst() const override;
std::any getUnderlyingResource() const override;
private:
bool isValidInternal() const EXCLUDES(mMutex);
nn::GeneralResult<nn::SharedExecution> createReusableExecutionInternal(
const nn::Request& request, nn::MeasureTiming measure,
const nn::OptionalDuration& loopTimeoutDuration,
const std::vector<nn::TokenValuePair>& metaData,
const std::vector<nn::ExtensionNameAndPrefix>& extensionNameToPrefix) const;
nn::GeneralResult<nn::SharedBurst> configureExecutionBurstInternal() const;
const Factory kMakePreparedModel;
mutable std::mutex mMutex;
mutable nn::SharedPreparedModel mPreparedModel GUARDED_BY(mMutex);
};
} // namespace android::hardware::neuralnetworks::utils
#endif // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_UTILS_COMMON_RESILIENT_PREPARED_MODEL_H
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